code: def _parse_input(self, eval_rs):
      if isinstance(eval_rs, EvalPrediction):
          # parse hugging face format
          predict = eval_rs.predictions
          label = eval_rs.label_ids
          input_ = eval_rs.inputs
  
      elif isinstance(eval_rs, PredictionOutput):
          predict = eval_rs.predictions
          label = eval_rs.label_ids
          input_ = None
  
      elif isinstance(eval_rs, tuple) and len(eval_rs) == 2:
          # conventional format
          predict, label = eval_rs
          input_ = None
      else:
          raise ValueError(
              "Unknown eval_rs format: {}. Expected input formats are either "
              "an instance of EvalPrediction or a 2-tuple (predict, label).".format(
                  type(eval_rs)
              )
          )
  
      return predict, label, input_
  
imports: from typing import Dict
  from transformers import EvalPrediction
  from transformers.trainer_utils import PredictionOutput
  import pandas
  import torch
  import numpy
  from typing import Union
  import json
  import logging
label_desc: Use image node_id 3 for calling the MetricEnsemble obj's underlying member method code with example usage: obj._parse_input(eval_rs) and returns: predict,  label,  input_